class_docstr: Implements the `.action_model` branch required above.
class_docstr_tok: ["Implements","the","`",".action_model","`","branch","required","above","."]
code: def forward(self, input_dict, state, seq_lens):
      context, self._value_out = self.base_model(input_dict["obs"])
      return context, state
  
file_path: ray/rllib/examples/models/autoregressive_action_model.py
imports: from gymnasium.spaces import Discrete, Tuple
  from ray.rllib.models.tf.misc import normc_initializer
  from ray.rllib.models.tf.tf_modelv2 import TFModelV2
  from ray.rllib.models.torch.misc import normc_initializer
  from ray.rllib.models.torch.misc import SlimFC
  from ray.rllib.models.torch.torch_modelv2 import TorchModelV2
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
label_desc: Use image node_id 2 for calling the AutoregressiveActionModel obj's underlying member method code with example usage: obj.forward(input_dict, state, seq_lens) and returns: context,  state